GCP Data Engineer: Cloud-Native ETL Architect

Tiger Analytics; Phoenix (AZ); On-site; USD 110,000 - 160,000; Full time

Job summary

Tiger Analytics is seeking an experienced Data Engineer to join our team, focusing on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. You will help assess, plan, and drive enterprise migration programs across data, applications, and cloud platforms, enabling modern, scalable, cloud-native solutions aligned with business goals.

Candidates should have 5+ years in data engineering with 3+ years on GCP, strong SQL/Python/Java/Scala, and hands-on

Qualifications

• 5+ years in data engineering with 3+ years on GCP.
• Strong SQL, Python, and/or Java/Scala for data processing.
• Experience with GCP services listed above.
• Bachelor's or Master's in CS, Engineering, or IS.

Responsibilities

• Build large-scale ETL/ELT pipelines on cloud platforms.
• Design analytical architectures within the GCP ecosystem.
• Assess, plan, and drive migration programs across data and cloud platforms.

Skills

SQL

Python

Java/Scala

Data modeling

ETL/ELT pipelines

Cloud data engineering

CI/CD

Git

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Cloud Composer

Airflow

Terraform

Git

Job description

Tiger Analytics is seeking an experienced Data Engineer to join our team, focusing on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. You will help assess, plan, and drive enterprise migration programs across data, applications, and cloud platforms, enabling modern, scalable, cloud-native solutions aligned with business goals.

Candidates should have 5+ years in data engineering with 3+ years on GCP, strong SQL/Python/Java/Scala, and hands-on